code: def run_update_points_in_background(peer_url, collection_name):
      p = multiprocessing.Process(
          target=update_points_in_loop, args=(peer_url, collection_name)
      )
      p.start()
      return p
  
file_path: qdrant/tests/consensus_tests/test_read_consistency.py
imports: import logging
  import multiprocessing
  import pathlib
  import random
  from .fixtures import create_collection, upsert_random_points
  from .utils import *
label_desc: Use image node_id 2 for calling a global function with example usage: run_update_points_in_background(peer_url, collection_name) and returns: p